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app.py

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+import gradio as gr
+import os
+import json
+import logging
+import pysrt
+import subprocess
+from pydub import AudioSegment
+from faster_whisper import WhisperModel
+from moviepy.editor import VideoFileClip
+
+# Configura logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+# Funzione di utilità per timestamp SRT
+def format_timestamp(seconds):
+    ms = int((seconds - int(seconds)) * 1000)
+    s = int(seconds)
+    h, s = divmod(s, 3600)
+    m, s = divmod(s, 60)
+    return f"{h:02}:{m:02}:{s:02},{ms:03}"
+
+# Trascrizione con faster-whisper
+def transcribe_video(video_path):
+    try:
+        # Estrai audio dal video
+        audio_path = "temp_audio.wav"
+        video = VideoFileClip(video_path)
+        video.audio.write_audiofile(audio_path, logger=None)
+
+        # Carica modello Whisper locale
+        model = WhisperModel("base")
+        segments, _ = model.transcribe(audio_path, beam_size=5)
+
+        # Scrive file SRT
+        srt_filename = "output.srt"
+        with open(srt_filename, "w", encoding="utf-8") as f:
+            for i, segment in enumerate(segments, 1):
+                f.write(f"{i}\n")
+                f.write(f"{format_timestamp(segment.start)} --> {format_timestamp(segment.end)}\n")
+                f.write(f"{segment.text.strip()}\n\n")
+
+        with open(srt_filename, "r", encoding="utf-8") as f:
+            srt_content = f.read()
+
+        return srt_content, srt_filename
+
+    except Exception as e:
+        logging.error(f"Errore durante la trascrizione: {e}")
+        return f"Errore: {e}", None
+    finally:
+        if os.path.exists("temp_audio.wav"):
+            os.remove("temp_audio.wav")
+
+# Interfaccia Gradio
+interface = gr.Interface(
+    fn=transcribe_video,
+    inputs=gr.File(label="Carica un video"),
+    outputs=[
+        gr.Textbox(label="Contenuto SRT", interactive=True, lines=20),
+        gr.File(label="Scarica il file SRT")
+    ],
+    title="Estrattore Sottotitoli",
+    description="Carica un video per generare automaticamente sottotitoli in formato SRT con Whisper."
+)
+
+if __name__ == "__main__":
+    interface.launch(share=True)

client_secret.json

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+{
+    "openai_api_key": "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",
+    "web": {
+        "client_id": "777046606431-40g5enf1s9bm6h6qf28505g23t8bgj3u.apps.googleusercontent.com",
+        "project_id": "dzextractaudio",
+        "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+        "token_uri": "https://oauth2.googleapis.com/token",
+        "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+        "client_secret": "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",
+        "redirect_uris": [
+           "http://localhost:8080","http://127.0.0.1:7861","https://5bee1832de22f43c3f.gradio.live"
+        ],
+        "javascript_origins": [
+            "http://localhost:8080","http://127.0.0.1:7861","https://5bee1832de22f43c3f.gradio.live"
+        ]
+    }
+}

requirements.txt

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+gradio
+moviepy
+pysrt
+pydub
+faster-whisper